This page presents the Grounding Page Ontology together with real reference implementations. Concepts are easier to understand when seen through concrete examples rather than abstract descriptions. Each Grounding Page shows how machine readable facts create stability and clarity inside AI systems.
Grounding Page Ontology – Machine Readable Entity Classes for AI Systems
This ontology defines 16 entity classes for the Grounding Page Standard.
Structured groups with roles, responsibilities and stable identity.
Technical environments or domains providing infrastructure.
Formal definitions describing common formats or specifications.
Structured approaches to generating or organizing knowledge.
No entries yet
Physical or digital items created for use.
No entries yet
Content for documentation or communication of knowledge.
No entries yet
Curated collections of structured information.
No entries yet
Occasions for exchange, collaboration or learning.
No entries yet
People with shared tasks or attributes.
No entries yet
Physical locations with spatial identity.
No entries yet
Value delivered through expertise or support.
No entries yet
Meaning Spaces that structure recurring intent patterns.
No entries yet
Ontological Subclasses of the Frame Class
Semantic Frames are organized into several subclasses representing different types of Meaning Spaces:
- Information Frames: Spaces that gather, explain or contextualize knowledge.
- Transaction Frames: Situations where people want to buy, book or select something.
- Evaluation Frames: Contexts where users compare or assess options.
- Navigation Frames: Meaning Spaces that provide orientation or structure.
- Action Frames: Spaces for performing or solving concrete tasks.
- Context Frames: Higher level thematic spaces that guide relevance.